David Checa
- Human-Computer Interaction top 0.5%
- Virtual Reality Applications and Impacts 11
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- Educational Games and Gamification 6
- Flow Experience in Various Fields 2
- Geology top 10%
- 3D Surveying and Cultural Heritage 4
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- Augmented Reality Applications 3
- Computer Science Applications top 10%
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- Visual and Cognitive Learning Processes 4
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- Industrial Vision Systems and Defect Detection 3
- Manufacturing Process and Optimization 2
David Checa
19 papers receiving 698 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Human-Computer Interaction 409
- Developmental and Educational Psychology 213
- Geology 59
- Computer Vision and Pattern Recognition 207
- Computer Science Applications 31
Countries citing papers authored by David Checa
This map shows the geographic impact of David Checa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Checa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Checa more than expected).
Fields of papers citing papers by David Checa
This network shows the impact of papers produced by David Checa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Checa. The network helps show where David Checa may publish in the future.
Co-authorship network
The 6 scholars most cited alongside David Checa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 26 | |
| 3 | Evaluation of the novelty effect in immersive Virtual Reality learning experiencesbreakdown → | 2024 | 52 |
| 4 | 2024 | 12 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 46 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 61 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2019 | 68 | |
| 19 | A review of immersive virtual reality serious games to enhance learning and trainingbreakdown → | 2019 | 396 |
| 20 | 2018 | 1 |
About David Checa
David Checa is a scholar working on Human-Computer Interaction, Geology, Conservation, Developmental and Educational Psychology and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 724 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (11 papers), Educational Games and Gamification (6 papers), Visual and Cognitive Learning Processes (4 papers), 3D Surveying and Cultural Heritage (4 papers), Augmented Reality Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Flow Experience in Various Fields (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Human-Computer Interaction (409 citations), Developmental and Educational Psychology (213 citations), Geology (59 citations), Computer Vision and Pattern Recognition (207 citations) and Computer Science Applications (31 citations). David Checa has collaborated with scholars based in Spain and Mexico. Frequent co-authors include Andrés Bustillo, Roque A. Osornio‐Rios, Jose A. Antonino‐Daviu, Juan José Saucedo-Dorantes, Gorka Urbikaín and Luís Norberto López de Lacalle. Their work appears in journals such as Virtual Reality, Applied Sciences, Electronics, Multimedia Tools and Applications and International Journal of Computer Integrated Manufacturing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.